Update README.md

README.md

@@ -8,6 +8,8 @@ pipeline_tag: text-generation
 
 A capable large language model for natural language to SQL generation. Outperforms all generalist models (including GPT-4) on text to SQL.
 
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/603bbad3fd770a9997b57cb6/3BVMV2z6FTEEPF1hJ2qu1.png)
+
 
 ## Model Details
 
@@ -45,7 +47,18 @@ You can read more about the methodology behind SQLEval [here](https://defog.ai/b
 
 ### Results
 
-[More Information Needed]
+We classified each generated question into one of 6 categories. The table displays the percentage of questions answered correctly by each model, broken down by category.
+|               | date | group_by | order_by | ratio | join | where |
+| ------------- | ---- | -------- | -------- | ----- | ---- | ----- |
+| sqlcoder-70b  | 96   | 91.4     | 97.1     | 85.7  | 97.1 | 91.4  |
+| sqlcoder-34b  | 80   | 94.3     | 85.7     | 77.1  | 85.7 | 80    |
+| gpt-4         | 64   | 94.3     | 88.6     | 74.2  | 85.7 | 80    |
+| sqlcoder2-15b | 76   | 80       | 77.1     | 60    | 77.1 | 77.1  |
+| sqlcoder-7b   | 64   | 82.9     | 74.3     | 54.3  | 74.3 | 74.3  |
+| gpt-3.5       | 68   | 77.1     | 74.2     | 34.3  | 65.7 | 71.4  |
+| claude-2      | 52   | 71.4     | 74.3     | 57.1  | 65.7 | 62.9  |
+
+## Using SQLCoder
 
 ## Model Card Authors